检索结果-内蒙古大学图书馆

6th International Conference on power and Energy Applications, ICPEA 2023

作者： Zhang, Lipeng Cao, Kuan Li, Yuwen Gao, Jie Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China State Grid Weihai Power Supply Company Development Planning Department Weihai China

ISBN: (纸本)9798350359053

An optimal energy storage sizing method for integrated energy system (IES) considering carbon trading and demand response is presented in this paper. Firstly, to effectively limit carbon emissions, a reward-penalty laddered carbon trading model is designed to convert carbon emissions into system costs or revenues. Secondly, the integrated demand response (IDR) model for electrical-cold-heat loads is established based on time-of-use price to enhance the operational flexibility and economy. Then, based on these two sub-models, an optimal energy storage sizing model is built to minimize the total life cycle cost including investment, operation and carbon trading cost. Finally, the simulation results indicate that a successful balance between low-carbon and economy can be achieved by the proposed method. © 2023 IEEE.

关键词： Energy storage

来源：评论

学校读者我要写书评

暂无评论

power Ramp Extremes Two Stage Forecast based on Auto Encoder and Bi-LSTM

Power Ramp Extremes Two Stage Forecast based on Auto Encoder...

引用

IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Chuanqi Wang Ming Yang Yixiao Yu Menglin Li Shuaijie Shan Yuanhe Zhang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

power ramp is one of the stages with the largest error of renewable energy power forecast. The deviation in the forecast of the time and values of the start-end points will lead to a significant forecast error to the whole ramp process. Therefore, accurate power ramp forecast can effectively improve the renewable energy power forecast accuracy. In this paper, SDAE is applied on encoding the meteorological features of the power ramp process. Then, the coded part is then spliced with a classifier and fine-tune, promote the output with clear category identity. Finally, the coding is fed into a bidirectional neural network to forecast the power at the start-end points. In case study, the proposed method in this paper demonstrated an improvement in the accuracy of extreme forecast of start-end points power by 4.94%in comparison to the power forecast based ramp recognition method.

关键词： Degradation Renewable energy sources Accuracy Neural networks Asia Weather forecasting Encoding Timing

来源：评论

学校读者我要写书评

暂无评论

Fault Location and Phase Selection Method of Distribution Network Containing IIDG Based on Online Active Detection 2

Fault Location and Phase Selection Method of Distribution Ne...

引用

2023 2nd International Conference on power system and Energy Technology, ICPSET 2023

作者： Cheng, Yunxiang Liu, Xiangbo Wang, Sen Gao, Fang Li, Hao Yu, Chengao Tao, Zhengchen Power Supply Service Command Center State Grid Rizhao Power Supply Company Rizhao China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

This paper proposes a fault location and phase selection method for the distribution network containing IIDG based on online active detection, utilizing online active detection. In this method, the characteristic harmonic current injection control strategy based on d- and q-axis control is obtained by analyzing the structure, control strategy, and short-circuit current of IIDG. During a fault, the distributed power supply injects characteristic harmonic current into line, adapting its magnitude with the short-circuit current's size. By detecting the difference in harmonic current content rate for both ends of the fault point, the method achieves online location and line selection of fault points. A 10 kV IIDG distribution network model is simulated by using PSCAD to validate the feasibility and accuracy of the proposed fault location and phase selection method. © Published under licence by IOP Publishing Ltd.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Accurate Distance Measurement Method of Single-Phase Ground Fault of power Grid Feeder with Load Division Based on Fault Secondary Discrimination 5

Accurate Distance Measurement Method of Single-Phase Ground ...

引用

5th International Conference on power and Energy Technology, ICPET 2023

作者： Cheng, Yunxiang Liu, Xiangbo Wang, Sen Gao, Fang Li, Hao Tao, Zhengchen State Grid Rizhao Power Supply Company Power Supply Service Command Center Rizhao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350339673

In order to solve the problem of low accuracy of traditional fault location method when the feeder of distribution network contains load branches, this paper proposes an accurate fault location method for single-phase grounding fault of feeder in distribution network with load branches based on fault secondary discrimination. By analyzing the feeder fault recording data, the fault point is identified twice to determine whether the fault point occurs on the load branch. According to different fault location, the voltage of the fault point is calculated by using the voltage and current of the two ends of the fault section. The voltage of the calculated fault point should be equal. The objective function of the minimum voltage difference of the fault point is written, and the fault distance x under the minimum voltage difference is obtained. The simulation model of 10KV distribution network is built on PSCAD, which verifies the accuracy of the ranging algorithm and has certain ability to resist transition resistance, which has certain engineering practice value. © 2023 IEEE.

关键词： accurate ranging algorithms fault secondary location Load division dominates grid feeders single-phase ground fault

来源：评论

学校读者我要写书评

暂无评论

A Distributionally Robust Optimal Allocation Method of Energy Storage for Resilience Enhancement of Distribution Network

A Distributionally Robust Optimal Allocation Method of Energ...

引用

2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Cao, Kuan Liu, Yutian Wang, Chunyi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Company Development Planning Department Jinan China

ISBN: (纸本)9781665471640

To solve the problem of active power imbalance in distribution network with high penetrations of photovoltaic (PV) under extreme weather, the paper proposes a distributionally robust optimal allocation method of energy storage considering extreme scenarios. Firstly, considering that the effect of energy storage on enhancing the resilience of distribution network is strongly related to its location, resilience indexes based on node evaluation are established to select the installation sites of energy storage. Secondly, in view of the correlation and randomness of PV output and load, the typical scenarios with the empirical probability distribution are generated based on Frank Copula joint probability distribution function. Then, Kullback-Leibler divergence is utilized to characterize the probability distribution ambiguity set of the typical scenarios. Based on the ambiguity set, a two-stage distributionally robust optimization model for energy storage capacity is established to minimize the cost of energy storage investment and distribution network operation. For further improving the resilience, an operational resilience index as a chance constraint considering extreme scenarios is embedded into the model. Finally, the case study shows that the proposed method can effectively improve PV accommodation capacity of distribution network and reduce load loss in extreme scenarios. © 2023 IEEE.

关键词： copula function distributionally robust optimization energy storage allocation Kullback-Leibler divergence resilience

来源：评论

学校读者我要写书评

暂无评论

Energy Storage Configuration Method for Distribution Network Resilience Enhancement Using Two-Stage Game Optimization 8

Energy Storage Configuration Method for Distribution Network...

引用

8th International Conference on power and Renewable Energy, ICPRE 2023

作者： Liu, Shuai Li, Yuwen Zhou, Heng Cao, Kuan Liu, Yutian State Grid Weihai Power Supply Company Development Planning Department Weihai China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350328813

In order to cope with the impact of extreme weather on distribution network, a two-stage multi-objective game optimization-based method of energy storage configuration for distribution network resilience enhancement is proposed in this paper. First, typical scenarios are generated based on N-k contingency as well as distributed photovoltaic (DPV) output characteristics, and evaluation indexes of resilience and economy are established. Then a two-stage multi-objective optimal configuration model is proposed, considering the operating state and resilience demand of distribution network before and after the power supply transfer. Finally, the model is solved by multi-objective particle swarm (MOPSO) and Nash game. Simulation results on the modified IEEE33-node model demonstrate that the proposed method can achieve good equilibrium solution between resilience and economy. © 2023 IEEE.

关键词： MOPSO Nash game power supply transfer resilience two-stage optimal configuration

来源：评论

学校读者我要写书评

暂无评论

A Generalized Wind Turbine Anomaly Detection Method Based on Combined Probability Estimation Model

引用

Journal of Modern power systems and Clean Energy 2023年第4期11卷 1136-1148页

作者： Xiangjun Zeng Ming Yang Chen Feng Yaohua Tang Key Laboratory of Power System Intelligent Dispatch and Control Shandong UniversityJinan 250061Chinaand X.Zeng is also with the College of Electrical Engineering&New EnergyChina Three Gorges UniversityYichang 443002China Rundian Energy Science and Technology Co. Ltd.Zhengzhou 450046China

Anomaly detection based on the data collected from the supervisory control and data acquisition(SCADA)system is crucial to reduce the failure rate of wind turbines(WTs).The difficulty of this kind of methods is to dynamically identify the threshold for anomaly detection under changing operating *** this paper,a generalized WT anomaly detection method based on the combined probability estimation model(CPEM)is *** CPEM can estimate the conditional probability density function(PDF)of the target variable given changing *** generalization and accuracy are better than those of the independent probability estimation model because it combines the advantages of various kinds of probability estimation models through linear *** using the CPEM,the normal operating bounds under different operating conditions can be obtained,which dynamically form the thresholds for anomaly ***,with respect to the thresholds,hypothesis testing(HT)is adopted to identify the anomaly by inspecting whether the observations exceed the thresholds at a given significance level,providing sound mathematical support for anomaly detection and making the detection results more *** effectiveness of the proposed method is tested by using the actual data of WTs with known *** results illustrate that the proposed method can detect the abnormal operating state of the gearbox and generator much more early than the system fault alarm.

关键词： Anomaly detection combined probability estimation generalization hypothesis testing(HT)

来源：评论

学校读者我要写书评

暂无评论

Transmission Network Expansion Planning with Consideration for Optimal Integration of Renewable Energy

Transmission Network Expansion Planning with Consideration f...

引用

IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Jialiang Wang Mingqiang Wang Yizhe Zhang Zihan Wang Chang Xu Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

This paper proposes an optimization method for transmission network expansion planning (TNEP) under the uncertainty of renewable energy generation and load. Unlike traditional stochastic programming and robust optimization, this method combines both approaches using conditional value-at-risk (CVaR). The original problem model is a three-level structure, where uncertainty is eliminated through dual problems twice, and the three-level structure is consolidated into a single-level model. It is demonstrated that, when adopting a DC power flow model, the problem can eventually be reformulated as a mixed-integer linear programming (MILP) model, which is directly solvable by commercial optimization solvers. Numerical results for networks with uncertainties in both load and renewable energy generation show that the proposed method achieves better solutions compared to traditional TNEP design approaches.

关键词： Renewable energy sources Uncertainty Stochastic processes Reliability engineering Planning Numerical models Mixed integer linear programming power system reliability Load modeling Periodic structures

来源：评论

学校读者我要写书评

暂无评论

Digital twin-oriented multi-physics field simulation analysis of high-voltage SF6circuit breakers

Digital twin-oriented multi-physics field simulation analysi...

引用

2022 International Conference on Energy Internet and power systems, ICEIPS 2022

作者： Chen, Jing Zhang, Keqi Liang, Zhenguang Du, Zongzhan Zhang, Hengxu Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Jinan250061 China

Circuit breakers are important components for removing short circuits in power systems and ensuring safe operation. The operation of circuit breakers may not be predicted and thus cause accidents, so there is an urgent need to innovate means to assess the operation status of power equipment and monitor the operation status of power grids in full real time, to improve the monitoring capability of major key equipment, and to study key technologies for the digital twin of circuit breakers to support the safe and stable operation of transmission networks and the digital transformation of energy systems. This paper establishes the multi-physics field coupling calculation model of the circuit breaker opening process, completes the simulation calculation of the circuit breaker opening process, gets the distribution and change trend of parameters such as electric field, pressure, temperature, density, and airflow speed inside the interrupting chamber, and analyzes the flow characteristics inside the interrupting chamber in different opening processes. We select the characteristic parameters and provide data support for the establishment of fault diagnosis based on the digital twin of the circuit breaker. © Published under licence by IOP Publishing Ltd.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

Surface-PMSM Sensorless control Strategy Based on Reduced-Order Linear Kalman Filter Cooperating With Prediction Error Rolling Compensation

引用

IEEE Transactions on power Electronics 2025年第8期40卷 10804-10815页

作者： Xu, Sang Shen, Anwen Tang, Qipeng Wang, Miaomiao Luo, Pan Luo, Xin Xu, Jinbang National Key Laboratory of Science and Technology on Multispectral Information Processing Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Wuhan430074 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

Kalman filter (KF) is increasingly attracted for sensorless control of surface permanent magnet synchronous motors due to its strong robustness against measurement and system noise. However, the conventional method suffers from poor position and speed estimation accuracy under dynamic conditions and high computational cost. In order to solve these problems, an enhanced sensorless control strategy based on reduced-order linear Kalman filter (RLKF) cooperating with prediction error rolling compensation is introduced in this article. Differing from conventional methods, a reduced-order linear state equation encompassing rotor position, speed, and torque disturbance is constructed. Then, by obtaining the prediction error of system output using the motor current equation in the predictive reference frame, the optimal estimation of rotor position and speed in the KF algorithm is achieved based on the reduced-order model. This not only simplifies the calculation process but also enhances the position and speed estimation accuracy under dynamic conditions. Meanwhile, a prediction error rolling compensation algorithm is developed to minimize the estimation deviations caused by motor parameter variations. In addition, the system's dynamic performance is further improved with an adopted speed controller based on torque disturbance feedforward and acceleration feedback. Finally, experimental results verify the effectiveness and feasibility of the proposed strategy. © 1986-2012 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：